[PDF] Top 20 Implementation of Neural Network for High Impedance Fault Detection
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Implementation of Neural Network for High Impedance Fault Detection
... the high impedance fault occurring on radial distribution system using neural ...nonlinear high impedance faults by taking the feature vector as input ...of fault cases ... See full document
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Implementation Of Data Augmentation In Convolutional Neural Network And Gradient Boosted Classifier For Vehicle Classification
... Several studies shows the effectiveness of using Image Augmentation (IA) in image dataset that resulted to standard outcome. Some of the image dataset are tiny-imagenet-200, CIFAR-10/100, MIT-Adobe 5K dataset, MNIST, ... See full document
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High Impedance Fault Detection Using Neural Networks Deepak Joshi, Ashish Kumar Singh, Avinash Sinha
... of fault cases (i.e. linear and nonlinear) by simulating the model of high impedance fault system ...Perceptron Neural Network for classification of these two types of ...This ... See full document
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FUZZY LOGIC TECHNIQUE FOR HIGH IMPEDANCE FAULT DETECTION IN DISTRIBUTION FEEDER
... HIFs detection capacity in electrical distribution feeder ...and high frequencies can be achieved by the de-composition of the measured current signal by using WT ...HIF detection, with reasonable ... See full document
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High Impedance Fault Detection in MV Distribution Network using Discrete Wavelet Transform and Adaptive Neuro-Fuzzy Inference System
... of high impedance fault identification algorithms using a combination of computational intelligence methods such as ANN, Fuzzy, harmonic component analysis using Extreme Learning Machine (ELM), ... See full document
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Fault Cause Identification and High Impedance Fault Detection in Distribution Feeders.
... The implementation of the Fault Cause Identification Method in the real world would be a twofold process. The first part is a one-time process as shown in Figure 4. In the first part, all the outage related ... See full document
174
Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines
... (BP) neural network architecture as an alternative method for fault detection, classification and isolation in a transmission line ...the implementation of complete scheme for distance ... See full document
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Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm
... for fault category on a 3 section transmission line ...propagation neural network set of rules successfully for category and detection of faults on a three-phase transmission ...for ... See full document
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Artificial Neural Network Classification for Gunshot Detection and Localization System
... [14]. Girod, L., Lukac, M., Trifa, V., &Estrin, D. (2006, October). The design and implementation of a self- calibrating distributed acoustic sensing platform. In Proceedings of the 4th international ... See full document
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High-Sensitivity Vegetation High-Impedance Fault Detection Based on Signal's High-Frequency Contents
... modern detection ap- ...Artificial Neural Network (ANN) classification approach in ...indicates fault occurrence when all the threshold conditions were ...the detection relied on the ... See full document
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High Impedance Fault Detection and Location in a Power Transmission Line Using ZIGBEE
... relays, neural networks and fuzzy ...for high investments in order to incorporate them in the power distribution ...require high investment for its installation in the power distribution ... See full document
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Title: A NEW GENERIC SEARCHING ALGORITHM FOR HIGH FAULT IMPEDANCE DETECTION IN TELEPHONE SYSTEM NETWORK
... the network, and the network produces some output based on the current state of its synaptic weights (initially, the output will be ...the network, and small changes are made to the weights in each ... See full document
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High Impedance Fault Detection of Distribution Network by Phasor Measurement Units
... model for HIF is proposed which is based on arc nature when a Conductor breaks or touches a high impedance thing. This model is obtained from laboratory measure- ments and theoretical components [1]. A ... See full document
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High impedance fault localization in a distribution network using the discrete wavelet transform
... HIF detection schemes have been proposed in the ...the detection schemes focus on identifying special features of the voltage and current signals associated with ... See full document
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Automatic Fault Detection in JC Bamford (JCB) Machines in A Construction Industry by the Application of Neural Network System
... Automatic fault detection is mainly for applications in the automotive ...A fault detection system based on multivariate data analysis is needed to increase data reliability and for the ... See full document
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Fault Detection and Classification on a Transmission Line using Wavelet Multi Resolution Analysis and Neural Network
... different fault conditions and results were ...ground fault, a fourteen input and four output feed forward back propagation neural network with four layers was ...is high (1) if a ... See full document
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Arcing High Impedance Fault Detection Using Real Coded Genetic Algorithm
... In this case a practical power system is simulated to demonstrate the ability of the Real Coded Genetic Algorithm to track harmonics during normal and abnormal conditions in a power system. The system is simulated using ... See full document
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FAULT DETECTION IN THREE PHASE INDUCTION MOTOR USING ARTIFICIAL INTELLIGENCE
... 562 When we start training ANFIS ...Step size decreases to 0.009000 after epoch 5. Again this Step size decreases to 0.008100 after epoch 19. Designated epoch numbers reached. ANFIS training completed at epoch 20. The ... See full document
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Efficient Generation of Power In Medium Voltage Direct Current Systems: Variable Speed Operation and Rectifier Considerations
... case, network model needs to be provided. Investigation into the network modeling and related issues such as minimum placement of PMU devices for fault location purpose is ...The fault ... See full document
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Application research on rough set neural network in the fault diagnosis system of ball mill
... The fault parameters of ball mill was unnoticed among large amount of data, According to the phenomenon, it put forward a fault diagnosis method of rough set to optimize neural network, and by ... See full document
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